We performed a comparison between IBM SPSS Modeler and TIBCO Data Science based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."
"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."
"It will scale up to anything we need."
"The quality is very good."
"Automation is great and this product is very organized."
"Automated modelling, classification, or clustering are very useful."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
"The most valuable feature is the ease of setting up visualizations."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"The most valuable feature is the performance."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"We have run into a few problems doing some entity matching/analytics."
"I would like see more programming languages added, like MATLAB. That would be better."
"I think mapping for geographic data would also be a really great thing to be able to use."
"Requires more development."
"The platform's cloud version needs improvements."
"The time series should be improved."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"The scripting for customization could be improved."
"I would like the visualization for the map of countries to be more easily configurable."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
Earn 20 points
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while TIBCO Data Science is ranked 25th in Data Science Platforms. IBM SPSS Modeler is rated 8.0, while TIBCO Data Science is rated 7.6. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, Alteryx and IBM SPSS Statistics, whereas TIBCO Data Science is most compared with TIBCO Statistica, MathWorks Matlab, Amazon SageMaker and Dataiku Data Science Studio.
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